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Abstract
Facing energy shortage and severe environmental pollution, manufacturing companies need to urgently energy consumption, make rational use of resources and improve economic benefits. This paper formulates a multi-objective optimization model for lathe turning operations which aims to simultaneously minimize energy consumption, machining cost and cutting time. A dynamic multi-swarm particle swarm optimizer (DMS-PSO) is proposed to solve the formulation. A case study is provided to illustrate the effectiveness of the proposed algorithm. The results show that the DMS-PSO approach can ensure good convergence and diversity of the solution set. Additionally, the optimal machining parameters are identified by fuzzy comprehensive evaluation (FCE) and compared with empirical parameters. It is discovered that the optimal parameters obtained from the proposed algorithm outperform the empirical parameters in all three objectives. The research findings shed new light on energy conservation of machining operations.
Highlights
With the soaring demand of energy and the worsening of the environment, modern manufacturing enterprises are faced with new challenges to improve energy efficiency and reduce pollution emissions [1,2,3]
The results revealed that the specific energy consumption (SEC) was significantly affected by the maximum cutting depth
After the optimal solution set is obtained by the dynamic multi-swarm particle swarm optimizer (DMS-particle swarm optimization (PSO)) algorithm, one can further comprehensively evaluate the solution set of Pareto from the perspectives of representativeness, systematicness and applicability according to the actual situation of the evaluation system
Summary
With the soaring demand of energy and the worsening of the environment, modern manufacturing enterprises are faced with new challenges to improve energy efficiency and reduce pollution emissions [1,2,3]. As a result, they have adopted various measures with respect to equipment, technology, materials and other aspects to achieve the purpose of energy conservation, emission reduction, and green manufacturing [4,5,6]. The enormous energy consumption of machine tools, coupled with their poor energy efficiency, has intensified the concerns of environmental pollution and carbon emissions To address these concerns, it is imperative to reduce the energy consumption of machine tools for the modern manufacturing industry. The reduction of energy consumption will in turn improve the efficiency of manufacturing enterprises, reduce the production cost, alleviate environmental pollution, and move towards greener and more sustainable manufacturing [12]
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